Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics.
Krishan RanaVibhavari DasagiJesse HavilandBen TalbotMichael MilfordNiko SünderhaufPublished in: Int. J. Robotics Res. (2023)
Keyphrases
- reinforcement learning
- optimal control
- control system
- robot control
- control problems
- control policy
- belief nets
- adaptive control
- control method
- perception action
- control strategy
- control theory
- control architecture
- control strategies
- motion control
- robotic systems
- disturbance rejection
- industrial robots
- guaranteed cost
- real time
- feedback control
- inverted pendulum
- data fusion
- fuzzy logic controller
- computer vision
- robotic manipulator
- neural network
- control loop
- control signals
- artificial intelligence
- control algorithm
- prior distribution
- maximum likelihood
- impedance control
- controller design
- learning algorithm
- function approximation
- adaptive neural
- tracking control
- posterior probability
- state space
- robust stability
- bayesian framework
- closed loop
- traffic signal
- adaptive fuzzy
- fuzzy controller
- model free